49 references to Transform
Microsoft.ML.AutoML (15)
EstimatorExtensions\EstimatorExtensions.cs (14)
19PipelineNodeType.Transform, inColumns, outColumn); 40PipelineNodeType.Transform, inColumn, outColumn); 61PipelineNodeType.Transform, inColumn, outColumn); 82PipelineNodeType.Transform, inColumn, outColumn); 103PipelineNodeType.Transform, inColumns, outColumns); 130PipelineNodeType.Transform, inColumns, outColumns); 157PipelineNodeType.Transform, inColumn, outColumn); 178PipelineNodeType.Transform, inColumns, outColumns); 209PipelineNodeType.Transform, inColumns, outColumns); 235PipelineNodeType.Transform, inColumn, outColumn); 256PipelineNodeType.Transform, inColumns, outColumns); 282PipelineNodeType.Transform, inColumn, outColumn); 308var pipelineNode = new PipelineNode(EstimatorName.RawByteImageLoading.ToString(), PipelineNodeType.Transform, inColumn, outColumn, pipelineNodeProperty); 333var pipelineNode = new PipelineNode(EstimatorName.ImageLoading.ToString(), PipelineNodeType.Transform, inColumn, outColumn, pipelineNodeProperty);
Experiment\SuggestedPipeline.cs (1)
93else if (pipelineNode.NodeType == PipelineNodeType.Transform)
Microsoft.ML.CodeGenerator (6)
CodeGenerator\CSharp\CodeGenerator.cs (3)
204var nodes = _pipeline.Nodes.TakeWhile(t => t.NodeType == PipelineNodeType.Transform); 208nodes = _pipeline.Nodes.SkipWhile(t => t.NodeType == PipelineNodeType.Transform) 210.TakeWhile(t => t.NodeType == PipelineNodeType.Transform); //post trainer transforms
CodeGenerator\CSharp\PipelineExtension.cs (3)
22var nodes = pipeline.Nodes.TakeWhile(t => t.NodeType == PipelineNodeType.Transform); 26nodes = pipeline.Nodes.SkipWhile(t => t.NodeType == PipelineNodeType.Transform) 28.TakeWhile(t => t.NodeType == PipelineNodeType.Transform); //post trainer transforms
Microsoft.ML.CodeGenerator.Tests (28)
ApprovalTests\ConsoleCodeGeneratorTests.cs (13)
558var valueToKeyPipelineNode1 = new PipelineNode(nameof(EstimatorName.ValueToKeyMapping), PipelineNodeType.Transform, "userId", "userId"); 559var valueToKeyPipelineNode2 = new PipelineNode(nameof(EstimatorName.ValueToKeyMapping), PipelineNodeType.Transform, "movieId", "movieId"); 674PipelineNodeType.Transform, 678var loadImageNode = new PipelineNode(EstimatorName.ImageLoading.ToString(), PipelineNodeType.Transform, "ImagePath", "input"); 681PipelineNodeType.Transform, 689var extractPixelsNode = new PipelineNode(nameof(SpecialTransformer.ExtractPixel), PipelineNodeType.Transform, "input", "input"); 728var hashPipelineNode = new PipelineNode(nameof(EstimatorName.Hashing), PipelineNodeType.Transform, "GroupId", "GroupId"); 765var onnxPipeLineNode = new PipelineNode(nameof(SpecialTransformer.ApplyOnnxModel), PipelineNodeType.Transform, string.Empty, string.Empty); 766var loadImageNode = new PipelineNode(EstimatorName.ImageLoading.ToString(), PipelineNodeType.Transform, "ImageSource", "ImageSource_featurized"); 769PipelineNodeType.Transform, 777var extractPixelsNode = new PipelineNode(nameof(SpecialTransformer.ExtractPixel), PipelineNodeType.Transform, "ImageSource_featurized", "input1"); 811var onnxPipeLineNode = new PipelineNode(nameof(SpecialTransformer.ApplyOnnxModel), PipelineNodeType.Transform, string.Empty, string.Empty); 981var onnxPipeLineNode = new PipelineNode(nameof(SpecialTransformer.ApplyOnnxModel), PipelineNodeType.Transform, new[] { "input.1" }, new[] { "output.1" },
CodeGenTests.cs (2)
69PipelineNode node = new PipelineNode("Normalizing", PipelineNodeType.Transform, new string[] { "Label" }, new string[] { "Label" }, elementProperties); 83PipelineNode node = new PipelineNode("OneHotEncoding", PipelineNodeType.Transform, new string[] { "Label" }, new string[] { "Label" }, elementProperties);
TransformGeneratorTests.cs (13)
26PipelineNode node = new PipelineNode("MissingValueReplacing", PipelineNodeType.Transform, new string[] { "categorical_column_1" }, new string[] { "categorical_column_1" }, elementProperties); 40PipelineNode node = new PipelineNode("OneHotEncoding", PipelineNodeType.Transform, new string[] { "categorical_column_1" }, new string[] { "categorical_column_1" }, elementProperties); 54PipelineNode node = new PipelineNode("Normalizing", PipelineNodeType.Transform, new string[] { "numeric_column_1" }, new string[] { "numeric_column_1_copy" }, elementProperties); 68PipelineNode node = new PipelineNode("ColumnConcatenating", PipelineNodeType.Transform, new string[] { "numeric_column_1", "numeric_column_2" }, new string[] { "Features" }, elementProperties); 82PipelineNode node = new PipelineNode("ColumnCopying", PipelineNodeType.Transform, new string[] { "numeric_column_1" }, new string[] { "numeric_column_2" }, elementProperties); 96PipelineNode node = new PipelineNode("KeyToValueMapping", PipelineNodeType.Transform, new string[] { "Label" }, new string[] { "Label" }, elementProperties); 110PipelineNode node = new PipelineNode("MissingValueIndicating", PipelineNodeType.Transform, new string[] { "numeric_column_1" }, new string[] { "numeric_column_1" }, elementProperties); 124PipelineNode node = new PipelineNode("OneHotHashEncoding", PipelineNodeType.Transform, new string[] { "Categorical_column_1" }, new string[] { "Categorical_column_1" }, elementProperties); 138PipelineNode node = new PipelineNode("TextFeaturizing", PipelineNodeType.Transform, new string[] { "Text_column_1" }, new string[] { "Text_column_1" }, elementProperties); 152PipelineNode node = new PipelineNode("TypeConverting", PipelineNodeType.Transform, new string[] { "I4_column_1" }, new string[] { "R4_column_1" }, elementProperties); 166PipelineNode node = new PipelineNode("ValueToKeyMapping", PipelineNodeType.Transform, new string[] { "Label" }, new string[] { "Label" }, elementProperties); 178PipelineNode node = new PipelineNode("ImageLoading", PipelineNodeType.Transform, 192PipelineNode node = new PipelineNode("RawByteImageLoading", PipelineNodeType.Transform,